/**
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.bigtop.datagenerators.samplers.markovmodels;

import java.io.Serializable;
import java.util.Map;

public class MarkovModel<T> implements Serializable
{
	private static final long serialVersionUID = 8378109656005603192L;

	final Map<T, Map<T, Double>> transitionWeights;
	final Map<T, Double> startWeights;

	public MarkovModel(Map<T, Map<T, Double>> transitionWeights, Map<T, Double> startWeights)
	{
		this.transitionWeights = transitionWeights;
		this.startWeights = startWeights;
	}

	public Map<T, Map<T, Double>> getTransitionWeights()
	{
		return transitionWeights;
	}

	public Map<T, Double> getStartWeights()
	{
		return startWeights;
	}

	@Override
	public String toString()
	{
		return "MarkModel(" + startWeights + "," + transitionWeights + ")";
	}

}
